Model predictive control for nonlinear boiler-turbine system based on fuzzy gain scheduling

Ke Wu, Tiejun Zhang, Jianhong Lv, Wenguo Xiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

This paper proposes a method for fuzzy gain scheduling state-space model predictive controller to deal with the nonlinearity of the boiler-turbine system. Simulation results over wide range show the good load-tracking property and robust control performance of the proposed controller under amplitude and slew-rate constraints on the manipulated variables.

Original languageBritish English
Title of host publicationProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008
Pages1115-1120
Number of pages6
DOIs
StatePublished - 2008
EventIEEE International Conference on Automation and Logistics, ICAL 2008 - Qingdao, China
Duration: 1 Sep 20083 Sep 2008

Publication series

NameProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008

Conference

ConferenceIEEE International Conference on Automation and Logistics, ICAL 2008
Country/TerritoryChina
CityQingdao
Period1/09/083/09/08

Keywords

  • Boiler-turbine system
  • Constrained optimization
  • Gain scheduling
  • Global fuzzy model
  • Predictive control

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